edu.stanford.nlp.ie
Class EmpiricalNERPrior<IN extends CoreMap>
java.lang.Object
edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior<IN>
edu.stanford.nlp.ie.EmpiricalNERPrior<IN>
- All Implemented Interfaces:
- SequenceListener, SequenceModel
public class EmpiricalNERPrior<IN extends CoreMap>
- extends EntityCachingAbstractSequencePrior<IN>
- Author:
- Jenny Finkel
Field Summary |
protected double |
dem1
|
protected double |
dem2
|
protected double |
dem3
|
protected double |
dem4
|
protected double |
dem5
|
protected double |
dem6
|
protected double |
dem7
|
protected double |
dem8
|
protected java.lang.String |
LOC
|
protected java.lang.String |
MISC
|
protected java.lang.String |
ORG
|
protected double |
p1
|
protected double |
p10
|
protected double |
p11
|
protected double |
p12
|
protected double |
p13
|
protected double |
p14
|
protected double |
p15
|
protected double |
p16
|
protected double |
p17
|
protected double |
p18
|
protected double |
p19
|
protected double |
p2
|
protected double |
p20
|
protected double |
p21
|
protected double |
p22
|
protected double |
p23
|
protected double |
p24
|
protected double |
p25
|
protected double |
p26
|
protected double |
p27
|
protected double |
p28
|
protected double |
p29
|
protected double |
p3
|
protected double |
p30
|
protected double |
p31
|
protected double |
p32
|
protected double |
p33
|
protected double |
p4
|
protected double |
p5
|
protected double |
p6
|
protected double |
p7
|
protected double |
p8
|
protected double |
p9
|
protected java.lang.String |
PER
|
Constructor Summary |
EmpiricalNERPrior(java.lang.String backgroundSymbol,
Index<java.lang.String> classIndex,
java.util.List<IN> doc)
|
Method Summary |
double |
scoreOf(int[] sequence)
Computes the score assigned by this model to the whole sequence. |
Methods inherited from class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior |
addingSingletonEntity, appendingEntity, extractEntity, getConditionalDistribution, getNumClasses, getPossibleValues, joiningTwoEntities, leftWindow, length, matches, noChange, otherOccurrences, prependingEntity, removingBeginningOfEntity, removingEndOfEntity, rightWindow, scoreOf, scoresOf, setInitialSequence, splittingTwoEntities, toArray, toString, toString, updateSequenceElement |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
ORG
protected java.lang.String ORG
PER
protected java.lang.String PER
LOC
protected java.lang.String LOC
MISC
protected java.lang.String MISC
p1
protected double p1
dem1
protected double dem1
p2
protected double p2
p3
protected double p3
p4
protected double p4
p5
protected double p5
dem2
protected double dem2
p6
protected double p6
p7
protected double p7
p8
protected double p8
p9
protected double p9
dem3
protected double dem3
p10
protected double p10
p11
protected double p11
p12
protected double p12
p13
protected double p13
dem4
protected double dem4
p14
protected double p14
p15
protected double p15
p16
protected double p16
p17
protected double p17
dem5
protected double dem5
p18
protected double p18
p19
protected double p19
p20
protected double p20
p21
protected double p21
dem6
protected double dem6
p22
protected double p22
p23
protected double p23
p24
protected double p24
p25
protected double p25
dem7
protected double dem7
p26
protected double p26
p27
protected double p27
p28
protected double p28
p29
protected double p29
dem8
protected double dem8
p30
protected double p30
p31
protected double p31
p32
protected double p32
p33
protected double p33
EmpiricalNERPrior
public EmpiricalNERPrior(java.lang.String backgroundSymbol,
Index<java.lang.String> classIndex,
java.util.List<IN> doc)
scoreOf
public double scoreOf(int[] sequence)
- Description copied from interface:
SequenceModel
- Computes the score assigned by this model to the whole sequence. Typically this will be an unnormalized
probability in log space (since the probabilities are small).
- Parameters:
sequence
- the sequence to compute a score for
- Returns:
- the score for the sequence
Stanford NLP Group